2013 年 6月 29 日随笔档案 - ying_vincent

2013年6月29日

Machine Learning No.9: Dimensionality reduction

摘要： 1. Principal component analysis algorithmdata preprocessing2. choosing the number of principal components3. reconstruction from compressed representation4. Application of PCA - compression - reduce memory/dist needed to store data - speed up learning algorithm - visualizationbad use of PCA: to pre.. 阅读全文

posted @ 2013-06-29 12:31 ying_vincent 阅读(192) 评论(0) 推荐(0)

Machine Learning No.8: Clusting

摘要： 1. K-means algorithm2. K-means optimization objective3. Random initialization 阅读全文

posted @ 2013-06-29 11:03 ying_vincent 阅读(223) 评论(0) 推荐(0)

Machine Learning No.7: Support Vector Machines

摘要： 1. SVM hypothsis2. large margin classification3. kernals and similarityiff1 = 1;if x if far from l^(1), f1 = 04. SVM with kernels5. SVM parameters6. Multi-class classification7. Logistic regression vs SVMs 阅读全文

posted @ 2013-06-29 10:10 ying_vincent 阅读(183) 评论(0) 推荐(0)